ActionSource |
A structure describing the source of an action.
|
ActionSummary |
Lists the properties of an action.
|
AddAssociationRequest |
|
AddAssociationResponse |
|
AdditionalInferenceSpecificationDefinition |
A structure of additional Inference Specification.
|
AdditionalS3DataSource |
A data source used for training or inference that is in addition to the input dataset or model data.
|
AddTagsRequest |
|
AddTagsResponse |
|
AgentVersion |
Edge Manager agent version.
|
Alarm |
An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.
|
AlgorithmSpecification |
|
AlgorithmStatusDetails |
Specifies the validation and image scan statuses of the algorithm.
|
AlgorithmStatusItem |
Represents the overall status of an algorithm.
|
AlgorithmSummary |
Provides summary information about an algorithm.
|
AlgorithmValidationProfile |
Defines a training job and a batch transform job that SageMaker runs to validate your algorithm.
|
AlgorithmValidationSpecification |
Specifies configurations for one or more training jobs that SageMaker runs to test the algorithm.
|
AnnotationConsolidationConfig |
Configures how labels are consolidated across human workers and processes output data.
|
AppDetails |
Details about an Amazon SageMaker app.
|
AppImageConfigDetails |
The configuration for running a SageMaker image as a KernelGateway app.
|
AppSpecification |
Configuration to run a processing job in a specified container image.
|
ArtifactSource |
A structure describing the source of an artifact.
|
ArtifactSourceType |
The ID and ID type of an artifact source.
|
ArtifactSummary |
Lists a summary of the properties of an artifact.
|
AssociateTrialComponentRequest |
|
AssociateTrialComponentResponse |
|
AssociationSummary |
Lists a summary of the properties of an association.
|
AsyncInferenceClientConfig |
Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous
inference.
|
AsyncInferenceConfig |
Specifies configuration for how an endpoint performs asynchronous inference.
|
AsyncInferenceNotificationConfig |
Specifies the configuration for notifications of inference results for asynchronous inference.
|
AsyncInferenceOutputConfig |
Specifies the configuration for asynchronous inference invocation outputs.
|
AthenaDatasetDefinition |
Configuration for Athena Dataset Definition input.
|
AutoMLAlgorithmConfig |
The collection of algorithms run on a dataset for training the model candidates of an Autopilot job.
|
AutoMLCandidate |
Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.
|
AutoMLCandidateGenerationConfig |
Stores the configuration information for how a candidate is generated (optional).
|
AutoMLCandidateStep |
Information about the steps for a candidate and what step it is working on.
|
AutoMLChannel |
A channel is a named input source that training algorithms can consume.
|
AutoMLContainerDefinition |
A list of container definitions that describe the different containers that make up an AutoML candidate.
|
AutoMLDataSource |
The data source for the Autopilot job.
|
AutoMLDataSplitConfig |
This structure specifies how to split the data into train and validation datasets.
|
AutoMLJobArtifacts |
The artifacts that are generated during an AutoML job.
|
AutoMLJobChannel |
A channel is a named input source that training algorithms can consume.
|
AutoMLJobCompletionCriteria |
How long a job is allowed to run, or how many candidates a job is allowed to generate.
|
AutoMLJobConfig |
A collection of settings used for an AutoML job.
|
AutoMLJobObjective |
Specifies a metric to minimize or maximize as the objective of an AutoML job.
|
AutoMLJobStepMetadata |
Metadata for an AutoML job step.
|
AutoMLJobSummary |
Provides a summary about an AutoML job.
|
AutoMLOutputDataConfig |
The output data configuration.
|
AutoMLPartialFailureReason |
The reason for a partial failure of an AutoML job.
|
AutoMLProblemTypeConfig |
A collection of settings specific to the problem type used to configure an AutoML job V2.
|
AutoMLProblemTypeResolvedAttributes |
Stores resolved attributes specific to the problem type of an AutoML job V2.
|
AutoMLResolvedAttributes |
The resolved attributes used to configure an AutoML job V2.
|
AutoMLS3DataSource |
Describes the Amazon S3 data source.
|
AutoMLSecurityConfig |
Security options.
|
AutoParameter |
The name and an example value of the hyperparameter that you want to use in Autotune.
|
AutoRollbackConfig |
Automatic rollback configuration for handling endpoint deployment failures and recovery.
|
Autotune |
A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
|
BatchDataCaptureConfig |
Configuration to control how SageMaker captures inference data for batch transform jobs.
|
BatchDescribeModelPackageError |
The error code and error description associated with the resource.
|
BatchDescribeModelPackageRequest |
|
BatchDescribeModelPackageResponse |
|
BatchDescribeModelPackageSummary |
Provides summary information about the model package.
|
BatchTransformInput |
Input object for the batch transform job.
|
BestObjectiveNotImproving |
A structure that keeps track of which training jobs launched by your hyperparameter tuning job are not improving
model performance as evaluated against an objective function.
|
Bias |
Contains bias metrics for a model.
|
BlueGreenUpdatePolicy |
Update policy for a blue/green deployment.
|
CacheHitResult |
Details on the cache hit of a pipeline execution step.
|
CallbackStepMetadata |
Metadata about a callback step.
|
CandidateArtifactLocations |
The location of artifacts for an AutoML candidate job.
|
CandidateGenerationConfig |
Stores the configuration information for how model candidates are generated using an AutoML job V2.
|
CandidateProperties |
The properties of an AutoML candidate job.
|
CanvasAppSettings |
The SageMaker Canvas application settings.
|
CapacitySize |
Specifies the type and size of the endpoint capacity to activate for a blue/green deployment, a rolling deployment,
or a rollback strategy.
|
CaptureContentTypeHeader |
Configuration specifying how to treat different headers.
|
CaptureOption |
Specifies data Model Monitor will capture.
|
CategoricalParameter |
Environment parameters you want to benchmark your load test against.
|
CategoricalParameterRange |
A list of categorical hyperparameters to tune.
|
CategoricalParameterRangeSpecification |
Defines the possible values for a categorical hyperparameter.
|
Channel |
A channel is a named input source that training algorithms can consume.
|
ChannelSpecification |
Defines a named input source, called a channel, to be used by an algorithm.
|
CheckpointConfig |
Contains information about the output location for managed spot training checkpoint data.
|
ClarifyCheckStepMetadata |
The container for the metadata for the ClarifyCheck step.
|
ClarifyExplainerConfig |
The configuration parameters for the SageMaker Clarify explainer.
|
ClarifyInferenceConfig |
The inference configuration parameter for the model container.
|
ClarifyShapBaselineConfig |
The configuration for the SHAP
baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.
|
ClarifyShapConfig |
The configuration for SHAP analysis using SageMaker Clarify Explainer.
|
ClarifyTextConfig |
A parameter used to configure the SageMaker Clarify explainer to treat text features as text so that explanations are
provided for individual units of text.
|
ClusterInstanceGroupDetails |
Details of an instance group in a SageMaker HyperPod cluster.
|
ClusterInstanceGroupSpecification |
The specifications of an instance group that you need to define.
|
ClusterInstanceStatusDetails |
Details of an instance in a SageMaker HyperPod cluster.
|
ClusterLifeCycleConfig |
The LifeCycle configuration for a SageMaker HyperPod cluster.
|
ClusterNodeDetails |
Details of an instance (also called a node interchangeably) in a SageMaker HyperPod cluster.
|
ClusterNodeSummary |
Lists a summary of the properties of an instance (also called a node interchangeably) of a SageMaker HyperPod
cluster.
|
ClusterSummary |
Lists a summary of the properties of a SageMaker HyperPod cluster.
|
CodeEditorAppSettings |
The Code Editor application settings.
|
CodeRepository |
A Git repository that SageMaker automatically displays to users for cloning in the JupyterServer application.
|
CodeRepositorySummary |
Specifies summary information about a Git repository.
|
CognitoConfig |
Use this parameter to configure your Amazon Cognito workforce.
|
CognitoMemberDefinition |
Identifies a Amazon Cognito user group.
|
CollectionConfig |
Configuration for your collection.
|
CollectionConfiguration |
Configuration information for the Amazon SageMaker Debugger output tensor collections.
|
CompilationJobSummary |
A summary of a model compilation job.
|
ConditionStepMetadata |
Metadata for a Condition step.
|
ContainerConfig |
The configuration used to run the application image container.
|
ContainerDefinition |
Describes the container, as part of model definition.
|
ContextSource |
A structure describing the source of a context.
|
ContextSummary |
Lists a summary of the properties of a context.
|
ContinuousParameterRange |
A list of continuous hyperparameters to tune.
|
ContinuousParameterRangeSpecification |
Defines the possible values for a continuous hyperparameter.
|
ConvergenceDetected |
A flag to indicating that automatic model tuning (AMT) has detected model convergence, defined as a lack of
significant improvement (1% or less) against an objective metric.
|
CreateActionRequest |
|
CreateActionResponse |
|
CreateAlgorithmRequest |
|
CreateAlgorithmResponse |
|
CreateAppImageConfigRequest |
|
CreateAppImageConfigResponse |
|
CreateAppRequest |
|
CreateAppResponse |
|
CreateArtifactRequest |
|
CreateArtifactResponse |
|
CreateAutoMlJobRequest |
|
CreateAutoMlJobResponse |
|
CreateAutoMlJobV2Request |
|
CreateAutoMlJobV2Response |
|
CreateClusterRequest |
|
CreateClusterResponse |
|
CreateCodeRepositoryRequest |
|
CreateCodeRepositoryResponse |
|
CreateCompilationJobRequest |
|
CreateCompilationJobResponse |
|
CreateContextRequest |
|
CreateContextResponse |
|
CreateDataQualityJobDefinitionRequest |
|
CreateDataQualityJobDefinitionResponse |
|
CreateDeviceFleetRequest |
|
CreateDeviceFleetResponse |
|
CreateDomainRequest |
|
CreateDomainResponse |
|
CreateEdgeDeploymentPlanRequest |
|
CreateEdgeDeploymentPlanResponse |
|
CreateEdgeDeploymentStageRequest |
|
CreateEdgeDeploymentStageResponse |
|
CreateEdgePackagingJobRequest |
|
CreateEdgePackagingJobResponse |
|
CreateEndpointConfigRequest |
|
CreateEndpointConfigResponse |
|
CreateEndpointRequest |
|
CreateEndpointResponse |
|
CreateExperimentRequest |
|
CreateExperimentResponse |
|
CreateFeatureGroupRequest |
|
CreateFeatureGroupResponse |
|
CreateFlowDefinitionRequest |
|
CreateFlowDefinitionResponse |
|
CreateHubRequest |
|
CreateHubResponse |
|
CreateHumanTaskUiRequest |
|
CreateHumanTaskUiResponse |
|
CreateHyperParameterTuningJobRequest |
|
CreateHyperParameterTuningJobResponse |
|
CreateImageRequest |
|
CreateImageResponse |
|
CreateImageVersionRequest |
|
CreateImageVersionResponse |
|
CreateInferenceComponentRequest |
|
CreateInferenceComponentResponse |
|
CreateInferenceExperimentRequest |
|
CreateInferenceExperimentResponse |
|
CreateInferenceRecommendationsJobRequest |
|
CreateInferenceRecommendationsJobResponse |
|
CreateLabelingJobRequest |
|
CreateLabelingJobResponse |
|
CreateModelBiasJobDefinitionRequest |
|
CreateModelBiasJobDefinitionResponse |
|
CreateModelCardExportJobRequest |
|
CreateModelCardExportJobResponse |
|
CreateModelCardRequest |
|
CreateModelCardResponse |
|
CreateModelExplainabilityJobDefinitionRequest |
|
CreateModelExplainabilityJobDefinitionResponse |
|
CreateModelPackageGroupRequest |
|
CreateModelPackageGroupResponse |
|
CreateModelPackageRequest |
|
CreateModelPackageResponse |
|
CreateModelQualityJobDefinitionRequest |
|
CreateModelQualityJobDefinitionResponse |
|
CreateModelRequest |
|
CreateModelResponse |
|
CreateMonitoringScheduleRequest |
|
CreateMonitoringScheduleResponse |
|
CreateNotebookInstanceLifecycleConfigRequest |
|
CreateNotebookInstanceLifecycleConfigResponse |
|
CreateNotebookInstanceRequest |
|
CreateNotebookInstanceResponse |
|
CreatePipelineRequest |
|
CreatePipelineResponse |
|
CreatePresignedDomainUrlRequest |
|
CreatePresignedDomainUrlResponse |
|
CreatePresignedNotebookInstanceUrlRequest |
|
CreatePresignedNotebookInstanceUrlResponse |
|
CreateProcessingJobRequest |
|
CreateProcessingJobResponse |
|
CreateProjectRequest |
|
CreateProjectResponse |
|
CreateSpaceRequest |
|
CreateSpaceResponse |
|
CreateStudioLifecycleConfigRequest |
|
CreateStudioLifecycleConfigResponse |
|
CreateTrainingJobRequest |
|
CreateTrainingJobResponse |
|
CreateTransformJobRequest |
|
CreateTransformJobResponse |
|
CreateTrialComponentRequest |
|
CreateTrialComponentResponse |
|
CreateTrialRequest |
|
CreateTrialResponse |
|
CreateUserProfileRequest |
|
CreateUserProfileResponse |
|
CreateWorkforceRequest |
|
CreateWorkforceResponse |
|
CreateWorkteamRequest |
|
CreateWorkteamResponse |
|
CustomFileSystem |
A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker Domain.
|
CustomFileSystemConfig |
The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker Domain.
|
CustomImage |
A custom SageMaker image.
|
CustomizedMetricSpecification |
A customized metric.
|
CustomPosixUserConfig |
Details about the POSIX identity that is used for file system operations.
|
DataCaptureConfig |
Configuration to control how SageMaker captures inference data.
|
DataCaptureConfigSummary |
The currently active data capture configuration used by your Endpoint.
|
DataCatalogConfig |
The meta data of the Glue table which serves as data catalog for the OfflineStore .
|
DataProcessing |
The data structure used to specify the data to be used for inference in a batch transform job and to associate the
data that is relevant to the prediction results in the output.
|
DataQualityAppSpecification |
Information about the container that a data quality monitoring job runs.
|
DataQualityBaselineConfig |
Configuration for monitoring constraints and monitoring statistics.
|
DataQualityJobInput |
The input for the data quality monitoring job.
|
DatasetDefinition |
Configuration for Dataset Definition inputs.
|
DataSource |
Describes the location of the channel data.
|
DebugHookConfig |
Configuration information for the Amazon SageMaker Debugger hook parameters, metric and tensor collections, and
storage paths.
|
DebugRuleConfiguration |
Configuration information for SageMaker Debugger rules for debugging.
|
DebugRuleEvaluationStatus |
Information about the status of the rule evaluation.
|
DefaultEbsStorageSettings |
A collection of default EBS storage settings that applies to private spaces created within a domain or user profile.
|
DefaultSpaceSettings |
A collection of settings that apply to spaces created in the domain.
|
DefaultSpaceStorageSettings |
The default storage settings for a private space.
|
DeleteActionRequest |
|
DeleteActionResponse |
|
DeleteAlgorithmRequest |
|
DeleteAlgorithmResponse |
|
DeleteAppImageConfigRequest |
|
DeleteAppImageConfigResponse |
|
DeleteAppRequest |
|
DeleteAppResponse |
|
DeleteArtifactRequest |
|
DeleteArtifactResponse |
|
DeleteAssociationRequest |
|
DeleteAssociationResponse |
|
DeleteClusterRequest |
|
DeleteClusterResponse |
|
DeleteCodeRepositoryRequest |
|
DeleteCodeRepositoryResponse |
|
DeleteCompilationJobRequest |
|
DeleteCompilationJobResponse |
|
DeleteContextRequest |
|
DeleteContextResponse |
|
DeleteDataQualityJobDefinitionRequest |
|
DeleteDataQualityJobDefinitionResponse |
|
DeleteDeviceFleetRequest |
|
DeleteDeviceFleetResponse |
|
DeleteDomainRequest |
|
DeleteDomainResponse |
|
DeleteEdgeDeploymentPlanRequest |
|
DeleteEdgeDeploymentPlanResponse |
|
DeleteEdgeDeploymentStageRequest |
|
DeleteEdgeDeploymentStageResponse |
|
DeleteEndpointConfigRequest |
|
DeleteEndpointConfigResponse |
|
DeleteEndpointRequest |
|
DeleteEndpointResponse |
|
DeleteExperimentRequest |
|
DeleteExperimentResponse |
|
DeleteFeatureGroupRequest |
|
DeleteFeatureGroupResponse |
|
DeleteFlowDefinitionRequest |
|
DeleteFlowDefinitionResponse |
|
DeleteHubContentRequest |
|
DeleteHubContentResponse |
|
DeleteHubRequest |
|
DeleteHubResponse |
|
DeleteHumanTaskUiRequest |
|
DeleteHumanTaskUiResponse |
|
DeleteHyperParameterTuningJobRequest |
|
DeleteHyperParameterTuningJobResponse |
|
DeleteImageRequest |
|
DeleteImageResponse |
|
DeleteImageVersionRequest |
|
DeleteImageVersionResponse |
|
DeleteInferenceComponentRequest |
|
DeleteInferenceComponentResponse |
|
DeleteInferenceExperimentRequest |
|
DeleteInferenceExperimentResponse |
|
DeleteModelBiasJobDefinitionRequest |
|
DeleteModelBiasJobDefinitionResponse |
|
DeleteModelCardRequest |
|
DeleteModelCardResponse |
|
DeleteModelExplainabilityJobDefinitionRequest |
|
DeleteModelExplainabilityJobDefinitionResponse |
|
DeleteModelPackageGroupPolicyRequest |
|
DeleteModelPackageGroupPolicyResponse |
|
DeleteModelPackageGroupRequest |
|
DeleteModelPackageGroupResponse |
|
DeleteModelPackageRequest |
|
DeleteModelPackageResponse |
|
DeleteModelQualityJobDefinitionRequest |
|
DeleteModelQualityJobDefinitionResponse |
|
DeleteModelRequest |
|
DeleteModelResponse |
|
DeleteMonitoringScheduleRequest |
|
DeleteMonitoringScheduleResponse |
|
DeleteNotebookInstanceLifecycleConfigRequest |
|
DeleteNotebookInstanceLifecycleConfigResponse |
|
DeleteNotebookInstanceRequest |
|
DeleteNotebookInstanceResponse |
|
DeletePipelineRequest |
|
DeletePipelineResponse |
|
DeleteProjectRequest |
|
DeleteProjectResponse |
|
DeleteSpaceRequest |
|
DeleteSpaceResponse |
|
DeleteStudioLifecycleConfigRequest |
|
DeleteStudioLifecycleConfigResponse |
|
DeleteTagsRequest |
|
DeleteTagsResponse |
|
DeleteTrialComponentRequest |
|
DeleteTrialComponentResponse |
|
DeleteTrialRequest |
|
DeleteTrialResponse |
|
DeleteUserProfileRequest |
|
DeleteUserProfileResponse |
|
DeleteWorkforceRequest |
|
DeleteWorkforceResponse |
|
DeleteWorkteamRequest |
|
DeleteWorkteamResponse |
|
DeployedImage |
Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.
|
DeploymentConfig |
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback
configurations.
|
DeploymentRecommendation |
A set of recommended deployment configurations for the model.
|
DeploymentStage |
Contains information about a stage in an edge deployment plan.
|
DeploymentStageStatusSummary |
Contains information summarizing the deployment stage results.
|
DeregisterDevicesRequest |
|
DeregisterDevicesResponse |
|
DerivedInformation |
Information that SageMaker Neo automatically derived about the model.
|
DescribeActionRequest |
|
DescribeActionResponse |
|
DescribeAlgorithmRequest |
|
DescribeAlgorithmResponse |
|
DescribeAppImageConfigRequest |
|
DescribeAppImageConfigResponse |
|
DescribeAppRequest |
|
DescribeAppResponse |
|
DescribeArtifactRequest |
|
DescribeArtifactResponse |
|
DescribeAutoMlJobRequest |
|
DescribeAutoMlJobResponse |
|
DescribeAutoMlJobV2Request |
|
DescribeAutoMlJobV2Response |
|
DescribeClusterNodeRequest |
|
DescribeClusterNodeResponse |
|
DescribeClusterRequest |
|
DescribeClusterResponse |
|
DescribeCodeRepositoryRequest |
|
DescribeCodeRepositoryResponse |
|
DescribeCompilationJobRequest |
|
DescribeCompilationJobResponse |
|
DescribeContextRequest |
|
DescribeContextResponse |
|
DescribeDataQualityJobDefinitionRequest |
|
DescribeDataQualityJobDefinitionResponse |
|
DescribeDeviceFleetRequest |
|
DescribeDeviceFleetResponse |
|
DescribeDeviceRequest |
|
DescribeDeviceResponse |
|
DescribeDomainRequest |
|
DescribeDomainResponse |
|
DescribeEdgeDeploymentPlanRequest |
|
DescribeEdgeDeploymentPlanResponse |
|
DescribeEdgePackagingJobRequest |
|
DescribeEdgePackagingJobResponse |
|
DescribeEndpointConfigRequest |
|
DescribeEndpointConfigResponse |
|
DescribeEndpointRequest |
|
DescribeEndpointResponse |
|
DescribeExperimentRequest |
|
DescribeExperimentResponse |
|
DescribeFeatureGroupRequest |
|
DescribeFeatureGroupResponse |
|
DescribeFeatureMetadataRequest |
|
DescribeFeatureMetadataResponse |
|
DescribeFlowDefinitionRequest |
|
DescribeFlowDefinitionResponse |
|
DescribeHubContentRequest |
|
DescribeHubContentResponse |
|
DescribeHubRequest |
|
DescribeHubResponse |
|
DescribeHumanTaskUiRequest |
|
DescribeHumanTaskUiResponse |
|
DescribeHyperParameterTuningJobRequest |
|
DescribeHyperParameterTuningJobResponse |
|
DescribeImageRequest |
|
DescribeImageResponse |
|
DescribeImageVersionRequest |
|
DescribeImageVersionResponse |
|
DescribeInferenceComponentRequest |
|
DescribeInferenceComponentResponse |
|
DescribeInferenceExperimentRequest |
|
DescribeInferenceExperimentResponse |
|
DescribeInferenceRecommendationsJobRequest |
|
DescribeInferenceRecommendationsJobResponse |
|
DescribeLabelingJobRequest |
|
DescribeLabelingJobResponse |
|
DescribeLineageGroupRequest |
|
DescribeLineageGroupResponse |
|
DescribeModelBiasJobDefinitionRequest |
|
DescribeModelBiasJobDefinitionResponse |
|
DescribeModelCardExportJobRequest |
|
DescribeModelCardExportJobResponse |
|
DescribeModelCardRequest |
|
DescribeModelCardResponse |
|
DescribeModelExplainabilityJobDefinitionRequest |
|
DescribeModelExplainabilityJobDefinitionResponse |
|
DescribeModelPackageGroupRequest |
|
DescribeModelPackageGroupResponse |
|
DescribeModelPackageRequest |
|
DescribeModelPackageResponse |
|
DescribeModelQualityJobDefinitionRequest |
|
DescribeModelQualityJobDefinitionResponse |
|
DescribeModelRequest |
|
DescribeModelResponse |
|
DescribeMonitoringScheduleRequest |
|
DescribeMonitoringScheduleResponse |
|
DescribeNotebookInstanceLifecycleConfigRequest |
|
DescribeNotebookInstanceLifecycleConfigResponse |
|
DescribeNotebookInstanceRequest |
|
DescribeNotebookInstanceResponse |
|
DescribePipelineDefinitionForExecutionRequest |
|
DescribePipelineDefinitionForExecutionResponse |
|
DescribePipelineExecutionRequest |
|
DescribePipelineExecutionResponse |
|
DescribePipelineRequest |
|
DescribePipelineResponse |
|
DescribeProcessingJobRequest |
|
DescribeProcessingJobResponse |
|
DescribeProjectRequest |
|
DescribeProjectResponse |
|
DescribeSpaceRequest |
|
DescribeSpaceResponse |
|
DescribeStudioLifecycleConfigRequest |
|
DescribeStudioLifecycleConfigResponse |
|
DescribeSubscribedWorkteamRequest |
|
DescribeSubscribedWorkteamResponse |
|
DescribeTrainingJobRequest |
|
DescribeTrainingJobResponse |
|
DescribeTransformJobRequest |
|
DescribeTransformJobResponse |
|
DescribeTrialComponentRequest |
|
DescribeTrialComponentResponse |
|
DescribeTrialRequest |
|
DescribeTrialResponse |
|
DescribeUserProfileRequest |
|
DescribeUserProfileResponse |
|
DescribeWorkforceRequest |
|
DescribeWorkforceResponse |
|
DescribeWorkteamRequest |
|
DescribeWorkteamResponse |
|
DesiredWeightAndCapacity |
Specifies weight and capacity values for a production variant.
|
Device |
Information of a particular device.
|
DeviceDeploymentSummary |
Contains information summarizing device details and deployment status.
|
DeviceFleetSummary |
Summary of the device fleet.
|
DeviceSelectionConfig |
Contains information about the configurations of selected devices.
|
DeviceStats |
Status of devices.
|
DeviceSummary |
Summary of the device.
|
DirectDeploySettings |
The model deployment settings for the SageMaker Canvas application.
|
DisableSagemakerServicecatalogPortfolioRequest |
|
DisableSagemakerServicecatalogPortfolioResponse |
|
DisassociateTrialComponentRequest |
|
DisassociateTrialComponentResponse |
|
DockerSettings |
A collection of settings that configure the domain's Docker interaction.
|
DomainDetails |
The domain's details.
|
DomainSettings |
A collection of settings that apply to the SageMaker Domain .
|
DomainSettingsForUpdate |
A collection of Domain configuration settings to update.
|
DriftCheckBaselines |
Represents the drift check baselines that can be used when the model monitor is set using the model package.
|
DriftCheckBias |
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
|
DriftCheckExplainability |
Represents the drift check explainability baselines that can be used when the model monitor is set using the model
package.
|
DriftCheckModelDataQuality |
Represents the drift check data quality baselines that can be used when the model monitor is set using the model
package.
|
DriftCheckModelQuality |
Represents the drift check model quality baselines that can be used when the model monitor is set using the model
package.
|
DynamicScalingConfiguration |
An object with the recommended values for you to specify when creating an autoscaling policy.
|
EbsStorageSettings |
A collection of EBS storage settings that applies to private spaces.
|
Edge |
A directed edge connecting two lineage entities.
|
EdgeDeploymentConfig |
Contains information about the configuration of a deployment.
|
EdgeDeploymentModelConfig |
Contains information about the configuration of a model in a deployment.
|
EdgeDeploymentPlanSummary |
Contains information summarizing an edge deployment plan.
|
EdgeDeploymentStatus |
Contains information summarizing the deployment stage results.
|
EdgeModel |
The model on the edge device.
|
EdgeModelStat |
Status of edge devices with this model.
|
EdgeModelSummary |
Summary of model on edge device.
|
EdgeOutputConfig |
The output configuration.
|
EdgePackagingJobSummary |
Summary of edge packaging job.
|
EdgePresetDeploymentOutput |
The output of a SageMaker Edge Manager deployable resource.
|
EFSFileSystem |
A file system, created by you in Amazon EFS, that you assign to a user profile or space for an Amazon SageMaker
Domain.
|
EFSFileSystemConfig |
The settings for assigning a custom Amazon EFS file system to a user profile or space for an Amazon SageMaker Domain.
|
EMRStepMetadata |
The configurations and outcomes of an Amazon EMR step execution.
|
EnableSagemakerServicecatalogPortfolioRequest |
|
EnableSagemakerServicecatalogPortfolioResponse |
|
Endpoint |
A hosted endpoint for real-time inference.
|
EndpointConfigSummary |
Provides summary information for an endpoint configuration.
|
EndpointInfo |
Details about a customer endpoint that was compared in an Inference Recommender job.
|
EndpointInput |
Input object for the endpoint
|
EndpointInputConfiguration |
The endpoint configuration for the load test.
|
EndpointMetadata |
The metadata of the endpoint.
|
EndpointOutputConfiguration |
The endpoint configuration made by Inference Recommender during a recommendation job.
|
EndpointPerformance |
The performance results from running an Inference Recommender job on an existing endpoint.
|
EndpointSummary |
Provides summary information for an endpoint.
|
EnvironmentParameter |
A list of environment parameters suggested by the Amazon SageMaker Inference Recommender.
|
EnvironmentParameterRanges |
Specifies the range of environment parameters
|
Experiment |
The properties of an experiment as returned by the Search API.
|
ExperimentConfig |
Associates a SageMaker job as a trial component with an experiment and trial.
|
ExperimentSource |
The source of the experiment.
|
ExperimentSummary |
A summary of the properties of an experiment.
|
Explainability |
Contains explainability metrics for a model.
|
ExplainerConfig |
A parameter to activate explainers.
|
FailStepMetadata |
The container for the metadata for Fail step.
|
FeatureDefinition |
A list of features.
|
FeatureGroup |
Amazon SageMaker Feature Store stores features in a collection called Feature Group.
|
FeatureGroupSummary |
The name, ARN, CreationTime , FeatureGroup values, LastUpdatedTime and
EnableOnlineStorage status of a FeatureGroup .
|
FeatureMetadata |
The metadata for a feature.
|
FeatureParameter |
A key-value pair that you specify to describe the feature.
|
FileSource |
Contains details regarding the file source.
|
FileSystemConfig |
The Amazon Elastic File System storage configuration for a SageMaker image.
|
FileSystemDataSource |
Specifies a file system data source for a channel.
|
Filter |
A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value.
|
FinalAutoMLJobObjectiveMetric |
The best candidate result from an AutoML training job.
|
FinalHyperParameterTuningJobObjectiveMetric |
Shows the latest objective metric emitted by a training job that was launched by a hyperparameter tuning job.
|
FlowDefinitionOutputConfig |
Contains information about where human output will be stored.
|
FlowDefinitionSummary |
Contains summary information about the flow definition.
|
GenerativeAiSettings |
The generative AI settings for the SageMaker Canvas application.
|
GetDeviceFleetReportRequest |
|
GetDeviceFleetReportResponse |
|
GetLineageGroupPolicyRequest |
|
GetLineageGroupPolicyResponse |
|
GetModelPackageGroupPolicyRequest |
|
GetModelPackageGroupPolicyResponse |
|
GetSagemakerServicecatalogPortfolioStatusRequest |
|
GetSagemakerServicecatalogPortfolioStatusResponse |
|
GetScalingConfigurationRecommendationRequest |
|
GetScalingConfigurationRecommendationResponse |
|
GetSearchSuggestionsRequest |
|
GetSearchSuggestionsResponse |
|
GitConfig |
Specifies configuration details for a Git repository in your Amazon Web Services account.
|
GitConfigForUpdate |
Specifies configuration details for a Git repository when the repository is updated.
|
HolidayConfigAttributes |
Stores the holiday featurization attributes applicable to each item of time-series datasets during the training of a
forecasting model.
|
HubContentDependency |
Any dependencies related to hub content, such as scripts, model artifacts, datasets, or notebooks.
|
HubContentInfo |
Information about hub content.
|
HubInfo |
Information about a hub.
|
HubS3StorageConfig |
The Amazon S3 storage configuration of a hub.
|
HumanLoopActivationConditionsConfig |
Defines under what conditions SageMaker creates a human loop.
|
HumanLoopActivationConfig |
Provides information about how and under what conditions SageMaker creates a human loop.
|
HumanLoopConfig |
Describes the work to be performed by human workers.
|
HumanLoopRequestSource |
Container for configuring the source of human task requests.
|
HumanTaskConfig |
Information required for human workers to complete a labeling task.
|
HumanTaskUiSummary |
Container for human task user interface information.
|
HyperbandStrategyConfig |
The configuration for Hyperband , a multi-fidelity based hyperparameter tuning strategy.
|
HyperParameterAlgorithmSpecification |
Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics
to monitor.
|
HyperParameterSpecification |
Defines a hyperparameter to be used by an algorithm.
|
HyperParameterTrainingJobDefinition |
Defines the training jobs launched by a hyperparameter tuning job.
|
HyperParameterTrainingJobSummary |
The container for the summary information about a training job.
|
HyperParameterTuningInstanceConfig |
The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job.
|
HyperParameterTuningJobCompletionDetails |
A structure that contains runtime information about both current and completed hyperparameter tuning jobs.
|
HyperParameterTuningJobConfig |
Configures a hyperparameter tuning job.
|
HyperParameterTuningJobConsumedResources |
The total resources consumed by your hyperparameter tuning job.
|
HyperParameterTuningJobObjective |
Defines the objective metric for a hyperparameter tuning job.
|
HyperParameterTuningJobSearchEntity |
An entity returned by the SearchRecord API
containing the properties of a hyperparameter tuning job.
|
HyperParameterTuningJobStrategyConfig |
The configuration for a training job launched by a hyperparameter tuning job.
|
HyperParameterTuningJobSummary |
Provides summary information about a hyperparameter tuning job.
|
HyperParameterTuningJobWarmStartConfig |
Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs
as a starting point.
|
HyperParameterTuningResourceConfig |
The configuration of resources, including compute instances and storage volumes for use in training jobs launched by
hyperparameter tuning jobs.
|
IamIdentity |
The IAM Identity details associated with the user.
|
IdentityProviderOAuthSetting |
The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source,
such as Snowflake.
|
Image |
A SageMaker image.
|
ImageClassificationJobConfig |
The collection of settings used by an AutoML job V2 for the image classification problem type.
|
ImageConfig |
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon
Virtual Private Cloud (VPC).
|
ImageVersion |
A version of a SageMaker Image .
|
ImportHubContentRequest |
|
ImportHubContentResponse |
|
InferenceComponentComputeResourceRequirements |
Defines the compute resources to allocate to run a model that you assign to an inference component.
|
InferenceComponentContainerSpecification |
Defines a container that provides the runtime environment for a model that you deploy with an inference component.
|
InferenceComponentContainerSpecificationSummary |
Details about the resources that are deployed with this inference component.
|
InferenceComponentRuntimeConfig |
Runtime settings for a model that is deployed with an inference component.
|
InferenceComponentRuntimeConfigSummary |
Details about the runtime settings for the model that is deployed with the inference component.
|
InferenceComponentSpecification |
Details about the resources to deploy with this inference component, including the model, container, and compute
resources.
|
InferenceComponentSpecificationSummary |
Details about the resources that are deployed with this inference component.
|
InferenceComponentStartupParameters |
Settings that take effect while the model container starts up.
|
InferenceComponentSummary |
A summary of the properties of an inference component.
|
InferenceExecutionConfig |
Specifies details about how containers in a multi-container endpoint are run.
|
InferenceExperimentDataStorageConfig |
The Amazon S3 location and configuration for storing inference request and response data.
|
InferenceExperimentSchedule |
The start and end times of an inference experiment.
|
InferenceExperimentSummary |
Lists a summary of properties of an inference experiment.
|
InferenceMetrics |
The metrics for an existing endpoint compared in an Inference Recommender job.
|
InferenceRecommendation |
A list of recommendations made by Amazon SageMaker Inference Recommender.
|
InferenceRecommendationsJob |
A structure that contains a list of recommendation jobs.
|
InferenceRecommendationsJobStep |
|
InferenceSpecification |
Defines how to perform inference generation after a training job is run.
|
InfraCheckConfig |
Configuration information for the infrastructure health check of a training job.
|
InputConfig |
Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and
the framework in which the model was trained.
|
InstanceGroup |
Defines an instance group for heterogeneous cluster training.
|
InstanceMetadataServiceConfiguration |
Information on the IMDS configuration of the notebook instance
|
IntegerParameterRange |
For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
|
IntegerParameterRangeSpecification |
Defines the possible values for an integer hyperparameter.
|
JupyterLabAppImageConfig |
The configuration for the file system and kernels in a SageMaker image running as a JupyterLab app.
|
JupyterLabAppSettings |
The settings for the JupyterLab application.
|
JupyterServerAppSettings |
The JupyterServer app settings.
|
KendraSettings |
The Amazon SageMaker Canvas application setting where you configure document querying.
|
KernelGatewayAppSettings |
The KernelGateway app settings.
|
KernelGatewayImageConfig |
The configuration for the file system and kernels in a SageMaker image running as a KernelGateway app.
|
KernelSpec |
The specification of a Jupyter kernel.
|
LabelCounters |
Provides a breakdown of the number of objects labeled.
|
LabelCountersForWorkteam |
Provides counts for human-labeled tasks in the labeling job.
|
LabelingJobAlgorithmsConfig |
Provides configuration information for auto-labeling of your data objects.
|
LabelingJobDataAttributes |
Attributes of the data specified by the customer.
|
LabelingJobDataSource |
Provides information about the location of input data.
|
LabelingJobForWorkteamSummary |
Provides summary information for a work team.
|
LabelingJobInputConfig |
Input configuration information for a labeling job.
|
LabelingJobOutput |
Specifies the location of the output produced by the labeling job.
|
LabelingJobOutputConfig |
Output configuration information for a labeling job.
|
LabelingJobResourceConfig |
Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling
model training and inference.
|
LabelingJobS3DataSource |
The Amazon S3 location of the input data objects.
|
LabelingJobSnsDataSource |
An Amazon SNS data source used for streaming labeling jobs.
|
LabelingJobStoppingConditions |
A set of conditions for stopping a labeling job.
|
LabelingJobSummary |
Provides summary information about a labeling job.
|
LambdaStepMetadata |
Metadata for a Lambda step.
|
LastUpdateStatus |
A value that indicates whether the update was successful.
|
LineageGroupSummary |
Lists a summary of the properties of a lineage group.
|
ListActionsRequest |
|
ListActionsResponse |
|
ListAlgorithmsRequest |
|
ListAlgorithmsResponse |
|
ListAliasesRequest |
|
ListAliasesResponse |
|
ListAppImageConfigsRequest |
|
ListAppImageConfigsResponse |
|
ListAppsRequest |
|
ListAppsResponse |
|
ListArtifactsRequest |
|
ListArtifactsResponse |
|
ListAssociationsRequest |
|
ListAssociationsResponse |
|
ListAutoMlJobsRequest |
|
ListAutoMlJobsResponse |
|
ListCandidatesForAutoMlJobRequest |
|
ListCandidatesForAutoMlJobResponse |
|
ListClusterNodesRequest |
|
ListClusterNodesResponse |
|
ListClustersRequest |
|
ListClustersResponse |
|
ListCodeRepositoriesRequest |
|
ListCodeRepositoriesResponse |
|
ListCompilationJobsRequest |
|
ListCompilationJobsResponse |
|
ListContextsRequest |
|
ListContextsResponse |
|
ListDataQualityJobDefinitionsRequest |
|
ListDataQualityJobDefinitionsResponse |
|
ListDeviceFleetsRequest |
|
ListDeviceFleetsResponse |
|
ListDevicesRequest |
|
ListDevicesResponse |
|
ListDomainsRequest |
|
ListDomainsResponse |
|
ListEdgeDeploymentPlansRequest |
|
ListEdgeDeploymentPlansResponse |
|
ListEdgePackagingJobsRequest |
|
ListEdgePackagingJobsResponse |
|
ListEndpointConfigsRequest |
|
ListEndpointConfigsResponse |
|
ListEndpointsRequest |
|
ListEndpointsResponse |
|
ListExperimentsRequest |
|
ListExperimentsResponse |
|
ListFeatureGroupsRequest |
|
ListFeatureGroupsResponse |
|
ListFlowDefinitionsRequest |
|
ListFlowDefinitionsResponse |
|
ListHubContentsRequest |
|
ListHubContentsResponse |
|
ListHubContentVersionsRequest |
|
ListHubContentVersionsResponse |
|
ListHubsRequest |
|
ListHubsResponse |
|
ListHumanTaskUisRequest |
|
ListHumanTaskUisResponse |
|
ListHyperParameterTuningJobsRequest |
|
ListHyperParameterTuningJobsResponse |
|
ListImagesRequest |
|
ListImagesResponse |
|
ListImageVersionsRequest |
|
ListImageVersionsResponse |
|
ListInferenceComponentsRequest |
|
ListInferenceComponentsResponse |
|
ListInferenceExperimentsRequest |
|
ListInferenceExperimentsResponse |
|
ListInferenceRecommendationsJobsRequest |
|
ListInferenceRecommendationsJobsResponse |
|
ListInferenceRecommendationsJobStepsRequest |
|
ListInferenceRecommendationsJobStepsResponse |
|
ListLabelingJobsForWorkteamRequest |
|
ListLabelingJobsForWorkteamResponse |
|
ListLabelingJobsRequest |
|
ListLabelingJobsResponse |
|
ListLineageGroupsRequest |
|
ListLineageGroupsResponse |
|
ListModelBiasJobDefinitionsRequest |
|
ListModelBiasJobDefinitionsResponse |
|
ListModelCardExportJobsRequest |
|
ListModelCardExportJobsResponse |
|
ListModelCardsRequest |
|
ListModelCardsResponse |
|
ListModelCardVersionsRequest |
|
ListModelCardVersionsResponse |
|
ListModelExplainabilityJobDefinitionsRequest |
|
ListModelExplainabilityJobDefinitionsResponse |
|
ListModelMetadataRequest |
|
ListModelMetadataResponse |
|
ListModelPackageGroupsRequest |
|
ListModelPackageGroupsResponse |
|
ListModelPackagesRequest |
|
ListModelPackagesResponse |
|
ListModelQualityJobDefinitionsRequest |
|
ListModelQualityJobDefinitionsResponse |
|
ListModelsRequest |
|
ListModelsResponse |
|
ListMonitoringAlertHistoryRequest |
|
ListMonitoringAlertHistoryResponse |
|
ListMonitoringAlertsRequest |
|
ListMonitoringAlertsResponse |
|
ListMonitoringExecutionsRequest |
|
ListMonitoringExecutionsResponse |
|
ListMonitoringSchedulesRequest |
|
ListMonitoringSchedulesResponse |
|
ListNotebookInstanceLifecycleConfigsRequest |
|
ListNotebookInstanceLifecycleConfigsResponse |
|
ListNotebookInstancesRequest |
|
ListNotebookInstancesResponse |
|
ListPipelineExecutionsRequest |
|
ListPipelineExecutionsResponse |
|
ListPipelineExecutionStepsRequest |
|
ListPipelineExecutionStepsResponse |
|
ListPipelineParametersForExecutionRequest |
|
ListPipelineParametersForExecutionResponse |
|
ListPipelinesRequest |
|
ListPipelinesResponse |
|
ListProcessingJobsRequest |
|
ListProcessingJobsResponse |
|
ListProjectsRequest |
|
ListProjectsResponse |
|
ListResourceCatalogsRequest |
|
ListResourceCatalogsResponse |
|
ListSpacesRequest |
|
ListSpacesResponse |
|
ListStageDevicesRequest |
|
ListStageDevicesResponse |
|
ListStudioLifecycleConfigsRequest |
|
ListStudioLifecycleConfigsResponse |
|
ListSubscribedWorkteamsRequest |
|
ListSubscribedWorkteamsResponse |
|
ListTagsRequest |
|
ListTagsResponse |
|
ListTrainingJobsForHyperParameterTuningJobRequest |
|
ListTrainingJobsForHyperParameterTuningJobResponse |
|
ListTrainingJobsRequest |
|
ListTrainingJobsResponse |
|
ListTransformJobsRequest |
|
ListTransformJobsResponse |
|
ListTrialComponentsRequest |
|
ListTrialComponentsResponse |
|
ListTrialsRequest |
|
ListTrialsResponse |
|
ListUserProfilesRequest |
|
ListUserProfilesResponse |
|
ListWorkforcesRequest |
|
ListWorkforcesResponse |
|
ListWorkteamsRequest |
|
ListWorkteamsResponse |
|
MemberDefinition |
Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.
|
MetadataProperties |
Metadata properties of the tracking entity, trial, or trial component.
|
MetricData |
The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
|
MetricDatum |
Information about the metric for a candidate produced by an AutoML job.
|
MetricDefinition |
Specifies a metric that the training algorithm writes to stderr or stdout .
|
MetricSpecification |
An object containing information about a metric.
|
MetricsSource |
Details about the metrics source.
|
Model |
The properties of a model as returned by the Search API.
|
ModelAccessConfig |
The access configuration file to control access to the ML model.
|
ModelArtifacts |
Provides information about the location that is configured for storing model artifacts.
|
ModelBiasAppSpecification |
Docker container image configuration object for the model bias job.
|
ModelBiasBaselineConfig |
The configuration for a baseline model bias job.
|
ModelBiasJobInput |
Inputs for the model bias job.
|
ModelCard |
An Amazon SageMaker Model Card.
|
ModelCardExportArtifacts |
The artifacts of the model card export job.
|
ModelCardExportJobSummary |
The summary of the Amazon SageMaker Model Card export job.
|
ModelCardExportOutputConfig |
Configure the export output details for an Amazon SageMaker Model Card.
|
ModelCardSecurityConfig |
Configure the security settings to protect model card data.
|
ModelCardSummary |
A summary of the model card.
|
ModelCardVersionSummary |
A summary of a specific version of the model card.
|
ModelClientConfig |
Configures the timeout and maximum number of retries for processing a transform job invocation.
|
ModelConfiguration |
Defines the model configuration.
|
ModelDashboardEndpoint |
An endpoint that hosts a model displayed in the Amazon SageMaker Model Dashboard.
|
ModelDashboardIndicatorAction |
An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into
InAlert status.
|
ModelDashboardModel |
A model displayed in the Amazon SageMaker Model Dashboard.
|
ModelDashboardModelCard |
The model card for a model displayed in the Amazon SageMaker Model Dashboard.
|
ModelDashboardMonitoringSchedule |
A monitoring schedule for a model displayed in the Amazon SageMaker Model Dashboard.
|
ModelDataQuality |
Data quality constraints and statistics for a model.
|
ModelDataSource |
Specifies the location of ML model data to deploy.
|
ModelDeployConfig |
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
|
ModelDeployResult |
Provides information about the endpoint of the model deployment.
|
ModelDigests |
Provides information to verify the integrity of stored model artifacts.
|
ModelExplainabilityAppSpecification |
Docker container image configuration object for the model explainability job.
|
ModelExplainabilityBaselineConfig |
The configuration for a baseline model explainability job.
|
ModelExplainabilityJobInput |
Inputs for the model explainability job.
|
ModelInfrastructureConfig |
The configuration for the infrastructure that the model will be deployed to.
|
ModelInput |
Input object for the model.
|
ModelLatencyThreshold |
The model latency threshold.
|
ModelMetadataFilter |
Part of the search expression.
|
ModelMetadataSearchExpression |
One or more filters that searches for the specified resource or resources in a search.
|
ModelMetadataSummary |
A summary of the model metadata.
|
ModelMetrics |
Contains metrics captured from a model.
|
ModelPackage |
A versioned model that can be deployed for SageMaker inference.
|
ModelPackageContainerDefinition |
Describes the Docker container for the model package.
|
ModelPackageGroup |
A group of versioned models in the model registry.
|
ModelPackageGroupSummary |
Summary information about a model group.
|
ModelPackageStatusDetails |
Specifies the validation and image scan statuses of the model package.
|
ModelPackageStatusItem |
Represents the overall status of a model package.
|
ModelPackageSummary |
Provides summary information about a model package.
|
ModelPackageValidationProfile |
Contains data, such as the inputs and targeted instance types that are used in the process of validating the model
package.
|
ModelPackageValidationSpecification |
Specifies batch transform jobs that SageMaker runs to validate your model package.
|
ModelQuality |
Model quality statistics and constraints.
|
ModelQualityAppSpecification |
Container image configuration object for the monitoring job.
|
ModelQualityBaselineConfig |
Configuration for monitoring constraints and monitoring statistics.
|
ModelQualityJobInput |
The input for the model quality monitoring job.
|
ModelRegisterSettings |
The model registry settings for the SageMaker Canvas application.
|
ModelStepMetadata |
Metadata for Model steps.
|
ModelSummary |
Provides summary information about a model.
|
ModelVariantConfig |
Contains information about the deployment options of a model.
|
ModelVariantConfigSummary |
Summary of the deployment configuration of a model.
|
MonitoringAlertActions |
A list of alert actions taken in response to an alert going into InAlert status.
|
MonitoringAlertHistorySummary |
Provides summary information of an alert's history.
|
MonitoringAlertSummary |
Provides summary information about a monitor alert.
|
MonitoringAppSpecification |
Container image configuration object for the monitoring job.
|
MonitoringBaselineConfig |
Configuration for monitoring constraints and monitoring statistics.
|
MonitoringClusterConfig |
Configuration for the cluster used to run model monitoring jobs.
|
MonitoringConstraintsResource |
The constraints resource for a monitoring job.
|
MonitoringCsvDatasetFormat |
Represents the CSV dataset format used when running a monitoring job.
|
MonitoringDatasetFormat |
Represents the dataset format used when running a monitoring job.
|
MonitoringExecutionSummary |
Summary of information about the last monitoring job to run.
|
MonitoringGroundTruthS3Input |
The ground truth labels for the dataset used for the monitoring job.
|
MonitoringInput |
The inputs for a monitoring job.
|
MonitoringJobDefinition |
Defines the monitoring job.
|
MonitoringJobDefinitionSummary |
Summary information about a monitoring job.
|
MonitoringJsonDatasetFormat |
Represents the JSON dataset format used when running a monitoring job.
|
MonitoringNetworkConfig |
The networking configuration for the monitoring job.
|
MonitoringOutput |
The output object for a monitoring job.
|
MonitoringOutputConfig |
The output configuration for monitoring jobs.
|
MonitoringParquetDatasetFormat |
Represents the Parquet dataset format used when running a monitoring job.
|
MonitoringResources |
Identifies the resources to deploy for a monitoring job.
|
MonitoringS3Output |
Information about where and how you want to store the results of a monitoring job.
|
MonitoringSchedule |
A schedule for a model monitoring job.
|
MonitoringScheduleConfig |
Configures the monitoring schedule and defines the monitoring job.
|
MonitoringScheduleSummary |
Summarizes the monitoring schedule.
|
MonitoringStatisticsResource |
The statistics resource for a monitoring job.
|
MonitoringStoppingCondition |
A time limit for how long the monitoring job is allowed to run before stopping.
|
MultiModelConfig |
Specifies additional configuration for hosting multi-model endpoints.
|
NeoVpcConfig |
The VpcConfig
configuration object that specifies the VPC that you want the compilation jobs to connect to.
|
NestedFilters |
A list of nested Filter
objects.
|
NetworkConfig |
Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and
outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
|
NotebookInstanceLifecycleConfigSummary |
Provides a summary of a notebook instance lifecycle configuration.
|
NotebookInstanceLifecycleHook |
Contains the notebook instance lifecycle configuration script.
|
NotebookInstanceSummary |
Provides summary information for an SageMaker notebook instance.
|
NotificationConfiguration |
Configures Amazon SNS notifications of available or expiring work items for work teams.
|
ObjectiveStatusCounters |
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of
their objective metric.
|
OfflineStoreConfig |
The configuration of an OfflineStore .
|
OfflineStoreStatus |
The status of OfflineStore .
|
OidcConfig |
Use this parameter to configure your OIDC Identity Provider (IdP).
|
OidcConfigForResponse |
Your OIDC IdP workforce configuration.
|
OidcMemberDefinition |
A list of user groups that exist in your OIDC Identity Provider (IdP).
|
OnlineStoreConfig |
Use this to specify the Amazon Web Services Key Management Service (KMS) Key ID, or KMSKeyId , for at
rest data encryption.
|
OnlineStoreConfigUpdate |
Updates the feature group online store configuration.
|
OnlineStoreSecurityConfig |
The security configuration for OnlineStore .
|
OutputConfig |
Contains information about the output location for the compiled model and the target device that the model runs on.
|
OutputDataConfig |
Provides information about how to store model training results (model artifacts).
|
OutputParameter |
An output parameter of a pipeline step.
|
OwnershipSettings |
The collection of ownership settings for a space.
|
OwnershipSettingsSummary |
Specifies summary information about the ownership settings.
|
ParallelismConfiguration |
Configuration that controls the parallelism of the pipeline.
|
Parameter |
Assigns a value to a named Pipeline parameter.
|
ParameterRange |
Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
|
ParameterRanges |
Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches.
|
Parent |
The trial that a trial component is associated with and the experiment the trial is part of.
|
ParentHyperParameterTuningJob |
A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter
tuning job.
|
PendingDeploymentSummary |
The summary of an in-progress deployment when an endpoint is creating or updating with a new endpoint configuration.
|
PendingProductionVariantSummary |
The production variant summary for a deployment when an endpoint is creating or updating with the CreateEndpoint or UpdateEndpoint
operations.
|
Phase |
Defines the traffic pattern.
|
Pipeline |
A SageMaker Model Building Pipeline instance.
|
PipelineDefinitionS3Location |
The location of the pipeline definition stored in Amazon S3.
|
PipelineExecution |
An execution of a pipeline.
|
PipelineExecutionStep |
An execution of a step in a pipeline.
|
PipelineExecutionStepMetadata |
Metadata for a step execution.
|
PipelineExecutionSummary |
A pipeline execution summary.
|
PipelineExperimentConfig |
Specifies the names of the experiment and trial created by a pipeline.
|
PipelineSummary |
A summary of a pipeline.
|
PredefinedMetricSpecification |
A specification for a predefined metric.
|
ProcessingClusterConfig |
Configuration for the cluster used to run a processing job.
|
ProcessingFeatureStoreOutput |
Configuration for processing job outputs in Amazon SageMaker Feature Store.
|
ProcessingInput |
The inputs for a processing job.
|
ProcessingJob |
An Amazon SageMaker processing job that is used to analyze data and evaluate models.
|
ProcessingJobStepMetadata |
Metadata for a processing job step.
|
ProcessingJobSummary |
Summary of information about a processing job.
|
ProcessingOutput |
Describes the results of a processing job.
|
ProcessingOutputConfig |
Configuration for uploading output from the processing container.
|
ProcessingResources |
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
ProcessingS3Input |
Configuration for downloading input data from Amazon S3 into the processing container.
|
ProcessingS3Output |
Configuration for uploading output data to Amazon S3 from the processing container.
|
ProcessingStoppingCondition |
Configures conditions under which the processing job should be stopped, such as how long the processing job has been
running.
|
ProductionVariant |
Identifies a model that you want to host and the resources chosen to deploy for hosting it.
|
ProductionVariantCoreDumpConfig |
Specifies configuration for a core dump from the model container when the process crashes.
|
ProductionVariantManagedInstanceScaling |
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to
accommodate traffic.
|
ProductionVariantRoutingConfig |
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
|
ProductionVariantServerlessConfig |
Specifies the serverless configuration for an endpoint variant.
|
ProductionVariantServerlessUpdateConfig |
Specifies the serverless update concurrency configuration for an endpoint variant.
|
ProductionVariantStatus |
Describes the status of the production variant.
|
ProductionVariantSummary |
Describes weight and capacities for a production variant associated with an endpoint.
|
ProfilerConfig |
Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
|
ProfilerConfigForUpdate |
Configuration information for updating the Amazon SageMaker Debugger profile parameters, system and framework metrics
configurations, and storage paths.
|
ProfilerRuleConfiguration |
Configuration information for profiling rules.
|
ProfilerRuleEvaluationStatus |
Information about the status of the rule evaluation.
|
Project |
The properties of a project as returned by the Search API.
|
ProjectSummary |
Information about a project.
|
PropertyNameQuery |
Part of the SuggestionQuery type.
|
PropertyNameSuggestion |
A property name returned from a GetSearchSuggestions call that specifies a value in the
PropertyNameQuery field.
|
ProvisioningParameter |
A key value pair used when you provision a project as a service catalog product.
|
PublicWorkforceTaskPrice |
Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
|
PutModelPackageGroupPolicyRequest |
|
PutModelPackageGroupPolicyResponse |
|
QualityCheckStepMetadata |
Container for the metadata for a Quality check step.
|
QueryFilters |
A set of filters to narrow the set of lineage entities connected to the StartArn (s) returned by the
QueryLineage API action.
|
QueryLineageRequest |
|
QueryLineageResponse |
|
RealTimeInferenceConfig |
The infrastructure configuration for deploying the model to a real-time inference endpoint.
|
RealTimeInferenceRecommendation |
The recommended configuration to use for Real-Time Inference.
|
RecommendationJobCompiledOutputConfig |
Provides information about the output configuration for the compiled model.
|
RecommendationJobContainerConfig |
|
RecommendationJobInferenceBenchmark |
The details for a specific benchmark from an Inference Recommender job.
|
RecommendationJobInputConfig |
The input configuration of the recommendation job.
|
RecommendationJobOutputConfig |
Provides information about the output configuration for the compiled model.
|
RecommendationJobPayloadConfig |
The configuration for the payload for a recommendation job.
|
RecommendationJobResourceLimit |
Specifies the maximum number of jobs that can run in parallel and the maximum number of jobs that can run.
|
RecommendationJobStoppingConditions |
Specifies conditions for stopping a job.
|
RecommendationJobVpcConfig |
Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
|
RecommendationMetrics |
The metrics of recommendations.
|
RedshiftDatasetDefinition |
Configuration for Redshift Dataset Definition input.
|
RegisterDevicesRequest |
|
RegisterDevicesResponse |
|
RegisterModelStepMetadata |
Metadata for a register model job step.
|
RemoteDebugConfig |
|
RemoteDebugConfigForUpdate |
|
RenderableTask |
Contains input values for a task.
|
RenderingError |
A description of an error that occurred while rendering the template.
|
RenderUiTemplateRequest |
|
RenderUiTemplateResponse |
|
RepositoryAuthConfig |
Specifies an authentication configuration for the private docker registry where your model image is hosted.
|
ResolvedAttributes |
The resolved attributes.
|
ResourceCatalog |
A resource catalog containing all of the resources of a specific resource type within a resource owner account.
|
ResourceConfig |
Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model
training.
|
ResourceConfigForUpdate |
The ResourceConfig to update KeepAlivePeriodInSeconds .
|
ResourceLimits |
Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
|
ResourceSpec |
Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
|
RetentionPolicy |
The retention policy for data stored on an Amazon Elastic File System volume.
|
RetryPipelineExecutionRequest |
|
RetryPipelineExecutionResponse |
|
RetryStrategy |
The retry strategy to use when a training job fails due to an InternalServerError .
|
RollingUpdatePolicy |
Specifies a rolling deployment strategy for updating a SageMaker endpoint.
|
RSessionAppSettings |
A collection of settings that apply to an RSessionGateway app.
|
RStudioServerProAppSettings |
A collection of settings that configure user interaction with the RStudioServerPro app.
|
RStudioServerProDomainSettings |
A collection of settings that configure the RStudioServerPro Domain-level app.
|
RStudioServerProDomainSettingsForUpdate |
A collection of settings that update the current configuration for the RStudioServerPro Domain-level
app.
|
S3DataSource |
Describes the S3 data source.
|
S3ModelDataSource |
Specifies the S3 location of ML model data to deploy.
|
S3StorageConfig |
The Amazon Simple Storage (Amazon S3) location and security configuration for OfflineStore .
|
SageMakerException.BuilderImpl |
|
SageMakerRequest |
|
SageMakerRequest.BuilderImpl |
|
SageMakerResponse |
|
SageMakerResponse.BuilderImpl |
|
SageMakerResponseMetadata |
|
ScalingPolicy |
An object containing a recommended scaling policy.
|
ScalingPolicyMetric |
The metric for a scaling policy.
|
ScalingPolicyObjective |
An object where you specify the anticipated traffic pattern for an endpoint.
|
ScheduleConfig |
Configuration details about the monitoring schedule.
|
SearchExpression |
A multi-expression that searches for the specified resource or resources in a search.
|
SearchRecord |
A single resource returned as part of the Search API response.
|
SearchRequest |
|
SearchResponse |
|
SecondaryStatusTransition |
|
SelectedStep |
A step selected to run in selective execution mode.
|
SelectiveExecutionConfig |
The selective execution configuration applied to the pipeline run.
|
SelectiveExecutionResult |
The ARN from an execution of the current pipeline.
|
SendPipelineExecutionStepFailureRequest |
|
SendPipelineExecutionStepFailureResponse |
|
SendPipelineExecutionStepSuccessRequest |
|
SendPipelineExecutionStepSuccessResponse |
|
ServiceCatalogProvisionedProductDetails |
Details of a provisioned service catalog product.
|
ServiceCatalogProvisioningDetails |
Details that you specify to provision a service catalog product.
|
ServiceCatalogProvisioningUpdateDetails |
Details that you specify to provision a service catalog product.
|
ShadowModeConfig |
The configuration of ShadowMode inference experiment type, which specifies a production variant to take
all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference
requests.
|
ShadowModelVariantConfig |
The name and sampling percentage of a shadow variant.
|
SharingSettings |
Specifies options for sharing Amazon SageMaker Studio notebooks.
|
ShuffleConfig |
A configuration for a shuffle option for input data in a channel.
|
SourceAlgorithm |
Specifies an algorithm that was used to create the model package.
|
SourceAlgorithmSpecification |
A list of algorithms that were used to create a model package.
|
SourceIpConfig |
A list of IP address ranges ( CIDRs).
|
SpaceCodeEditorAppSettings |
The application settings for a Code Editor space.
|
SpaceDetails |
The space's details.
|
SpaceJupyterLabAppSettings |
The settings for the JupyterLab application within a space.
|
SpaceSettings |
A collection of space settings.
|
SpaceSettingsSummary |
Specifies summary information about the space settings.
|
SpaceSharingSettings |
A collection of space sharing settings.
|
SpaceSharingSettingsSummary |
Specifies summary information about the space sharing settings.
|
SpaceStorageSettings |
The storage settings for a private space.
|
Stairs |
Defines the stairs traffic pattern for an Inference Recommender load test.
|
StartEdgeDeploymentStageRequest |
|
StartEdgeDeploymentStageResponse |
|
StartInferenceExperimentRequest |
|
StartInferenceExperimentResponse |
|
StartMonitoringScheduleRequest |
|
StartMonitoringScheduleResponse |
|
StartNotebookInstanceRequest |
|
StartNotebookInstanceResponse |
|
StartPipelineExecutionRequest |
|
StartPipelineExecutionResponse |
|
StopAutoMlJobRequest |
|
StopAutoMlJobResponse |
|
StopCompilationJobRequest |
|
StopCompilationJobResponse |
|
StopEdgeDeploymentStageRequest |
|
StopEdgeDeploymentStageResponse |
|
StopEdgePackagingJobRequest |
|
StopEdgePackagingJobResponse |
|
StopHyperParameterTuningJobRequest |
|
StopHyperParameterTuningJobResponse |
|
StopInferenceExperimentRequest |
|
StopInferenceExperimentResponse |
|
StopInferenceRecommendationsJobRequest |
|
StopInferenceRecommendationsJobResponse |
|
StopLabelingJobRequest |
|
StopLabelingJobResponse |
|
StopMonitoringScheduleRequest |
|
StopMonitoringScheduleResponse |
|
StopNotebookInstanceRequest |
|
StopNotebookInstanceResponse |
|
StoppingCondition |
Specifies a limit to how long a model training job or model compilation job can run.
|
StopPipelineExecutionRequest |
|
StopPipelineExecutionResponse |
|
StopProcessingJobRequest |
|
StopProcessingJobResponse |
|
StopTrainingJobRequest |
|
StopTrainingJobResponse |
|
StopTransformJobRequest |
|
StopTransformJobResponse |
|
StudioLifecycleConfigDetails |
Details of the Amazon SageMaker Studio Lifecycle Configuration.
|
SubscribedWorkteam |
Describes a work team of a vendor that does the a labelling job.
|
SuggestionQuery |
|
TabularJobConfig |
The collection of settings used by an AutoML job V2 for the tabular problem type.
|
TabularResolvedAttributes |
The resolved attributes specific to the tabular problem type.
|
Tag |
A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services
resources.
|
TargetPlatform |
Contains information about a target platform that you want your model to run on, such as OS, architecture, and
accelerators.
|
TargetTrackingScalingPolicyConfiguration |
A target tracking scaling policy.
|
TensorBoardAppSettings |
The TensorBoard app settings.
|
TensorBoardOutputConfig |
Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.
|
TextClassificationJobConfig |
The collection of settings used by an AutoML job V2 for the text classification problem type.
|
TextGenerationJobConfig |
The collection of settings used by an AutoML job V2 for the text generation problem type.
|
TextGenerationResolvedAttributes |
The resolved attributes specific to the text generation problem type.
|
ThroughputConfig |
Used to set feature group throughput configuration.
|
ThroughputConfigDescription |
Active throughput configuration of the feature group.
|
ThroughputConfigUpdate |
The new throughput configuration for the feature group.
|
TimeSeriesConfig |
The collection of components that defines the time-series.
|
TimeSeriesForecastingJobConfig |
The collection of settings used by an AutoML job V2 for the time-series forecasting problem type.
|
TimeSeriesForecastingSettings |
Time series forecast settings for the SageMaker Canvas application.
|
TimeSeriesTransformations |
Transformations allowed on the dataset.
|
TrafficPattern |
Defines the traffic pattern of the load test.
|
TrafficRoutingConfig |
Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new
fleet.
|
TrainingImageConfig |
The configuration to use an image from a private Docker registry for a training job.
|
TrainingJob |
Contains information about a training job.
|
TrainingJobDefinition |
Defines the input needed to run a training job using the algorithm.
|
TrainingJobStatusCounters |
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
|
TrainingJobStepMetadata |
Metadata for a training job step.
|
TrainingJobSummary |
Provides summary information about a training job.
|
TrainingRepositoryAuthConfig |
An object containing authentication information for a private Docker registry.
|
TrainingSpecification |
Defines how the algorithm is used for a training job.
|
TransformDataSource |
Describes the location of the channel data.
|
TransformInput |
Describes the input source of a transform job and the way the transform job consumes it.
|
TransformJob |
A batch transform job.
|
TransformJobDefinition |
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
|
TransformJobStepMetadata |
Metadata for a transform job step.
|
TransformJobSummary |
Provides a summary of a transform job.
|
TransformOutput |
Describes the results of a transform job.
|
TransformResources |
Describes the resources, including ML instance types and ML instance count, to use for transform job.
|
TransformS3DataSource |
Describes the S3 data source.
|
Trial |
The properties of a trial as returned by the Search API.
|
TrialComponent |
The properties of a trial component as returned by the Search API.
|
TrialComponentArtifact |
Represents an input or output artifact of a trial component.
|
TrialComponentMetricSummary |
A summary of the metrics of a trial component.
|
TrialComponentParameterValue |
The value of a hyperparameter.
|
TrialComponentSimpleSummary |
A short summary of a trial component.
|
TrialComponentSource |
The Amazon Resource Name (ARN) and job type of the source of a trial component.
|
TrialComponentSourceDetail |
Detailed information about the source of a trial component.
|
TrialComponentStatus |
The status of the trial component.
|
TrialComponentSummary |
A summary of the properties of a trial component.
|
TrialSource |
The source of the trial.
|
TrialSummary |
A summary of the properties of a trial.
|
TtlDuration |
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt
= EventTime + TtlDuration .
|
TuningJobCompletionCriteria |
The job completion criteria.
|
TuningJobStepMetaData |
Metadata for a tuning step.
|
UiConfig |
Provided configuration information for the worker UI for a labeling job.
|
UiTemplate |
The Liquid template for the worker user interface.
|
UiTemplateInfo |
Container for user interface template information.
|
UpdateActionRequest |
|
UpdateActionResponse |
|
UpdateAppImageConfigRequest |
|
UpdateAppImageConfigResponse |
|
UpdateArtifactRequest |
|
UpdateArtifactResponse |
|
UpdateClusterRequest |
|
UpdateClusterResponse |
|
UpdateClusterSoftwareRequest |
|
UpdateClusterSoftwareResponse |
|
UpdateCodeRepositoryRequest |
|
UpdateCodeRepositoryResponse |
|
UpdateContextRequest |
|
UpdateContextResponse |
|
UpdateDeviceFleetRequest |
|
UpdateDeviceFleetResponse |
|
UpdateDevicesRequest |
|
UpdateDevicesResponse |
|
UpdateDomainRequest |
|
UpdateDomainResponse |
|
UpdateEndpointRequest |
|
UpdateEndpointResponse |
|
UpdateEndpointWeightsAndCapacitiesRequest |
|
UpdateEndpointWeightsAndCapacitiesResponse |
|
UpdateExperimentRequest |
|
UpdateExperimentResponse |
|
UpdateFeatureGroupRequest |
|
UpdateFeatureGroupResponse |
|
UpdateFeatureMetadataRequest |
|
UpdateFeatureMetadataResponse |
|
UpdateHubRequest |
|
UpdateHubResponse |
|
UpdateImageRequest |
|
UpdateImageResponse |
|
UpdateImageVersionRequest |
|
UpdateImageVersionResponse |
|
UpdateInferenceComponentRequest |
|
UpdateInferenceComponentResponse |
|
UpdateInferenceComponentRuntimeConfigRequest |
|
UpdateInferenceComponentRuntimeConfigResponse |
|
UpdateInferenceExperimentRequest |
|
UpdateInferenceExperimentResponse |
|
UpdateModelCardRequest |
|
UpdateModelCardResponse |
|
UpdateModelPackageRequest |
|
UpdateModelPackageResponse |
|
UpdateMonitoringAlertRequest |
|
UpdateMonitoringAlertResponse |
|
UpdateMonitoringScheduleRequest |
|
UpdateMonitoringScheduleResponse |
|
UpdateNotebookInstanceLifecycleConfigRequest |
|
UpdateNotebookInstanceLifecycleConfigResponse |
|
UpdateNotebookInstanceRequest |
|
UpdateNotebookInstanceResponse |
|
UpdatePipelineExecutionRequest |
|
UpdatePipelineExecutionResponse |
|
UpdatePipelineRequest |
|
UpdatePipelineResponse |
|
UpdateProjectRequest |
|
UpdateProjectResponse |
|
UpdateSpaceRequest |
|
UpdateSpaceResponse |
|
UpdateTrainingJobRequest |
|
UpdateTrainingJobResponse |
|
UpdateTrialComponentRequest |
|
UpdateTrialComponentResponse |
|
UpdateTrialRequest |
|
UpdateTrialResponse |
|
UpdateUserProfileRequest |
|
UpdateUserProfileResponse |
|
UpdateWorkforceRequest |
|
UpdateWorkforceResponse |
|
UpdateWorkteamRequest |
|
UpdateWorkteamResponse |
|
USD |
Represents an amount of money in United States dollars.
|
UserContext |
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or
model card.
|
UserProfileDetails |
The user profile details.
|
UserSettings |
A collection of settings that apply to users in a domain.
|
VariantProperty |
Specifies a production variant property type for an Endpoint.
|
VectorConfig |
Configuration for your vector collection type.
|
Vertex |
A lineage entity connected to the starting entity(ies).
|
VisibilityConditions |
The list of key-value pairs used to filter your search results.
|
VpcConfig |
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have
access to.
|
WarmPoolStatus |
Status and billing information about the warm pool.
|
Workforce |
A single private workforce, which is automatically created when you create your first private work team.
|
WorkforceVpcConfigRequest |
The VPC object you use to create or update a workforce.
|
WorkforceVpcConfigResponse |
A VpcConfig object that specifies the VPC that you want your workforce to connect to.
|
WorkspaceSettings |
The workspace settings for the SageMaker Canvas application.
|
Workteam |
Provides details about a labeling work team.
|